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@hirdeshviikram
Final-year Electrical Engineer passionate about machine learning and software development.
I am a final-year Electrical and Electronics Engineering student at PES University, deeply interested in the intersection of machine learning and software development. My academic journey has equipped me with the skills to develop scalable, innovative solutions that address real-world challenges through robust architectures and cutting-edge algorithms.
During my internship at Bosch in Bangalore, I designed and implemented scalable APIs using FastAPI, enabling seamless integration of diverse data sources into enterprise data lakes. I also developed and optimized neural network architectures for predictive analytics, demonstrating robust performance through comparative analysis. My projects, including a YouTube Skeleton Clone and an AI-Based Health Assistant, showcase my ability to create real-time applications that leverage advanced technologies.
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Work history, roles, and key accomplishments
Bosch
Jan 2023 - Jun 2023 (5 months)
As a Software Developer Intern at Bosch, I designed and implemented scalable APIs using FastAPI for data ingestion into enterprise data lakes. I developed neural network architectures for predictive analytics and built internal web applications to visualize analysis outputs, enhancing decision-making processes.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Electrical and Electronics Engineering
2021 - 2025
Grade: 6.47
Activities and societies: Neural Networks and Deep Learning (DeepLearning.AI), Python for Data Science and Machine Learning Bootcamp (Udemy), Cloud Computing Fundamentals with Google Cloud Platform (May 2022), Introduction to Neural Networks (Nov 2022)
Final-year Electrical and Electronics Engineering student at PES University with a strong interest in the intersection of machine learning and software development. I’m looking forward to developing scalable, innovative solutions that address real-world challenges through robust architectures and cutting-edge algorithms.
Software and tools used professionally
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